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[XPU]MAX_BSZ aligns gpu settings and disable prefix cache in OCR VL (#5831)

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This commit is contained in:
ddchenhao66
2025-12-31 09:49:12 +08:00
committed by GitHub
parent 74e162697f
commit 9e45ef7ca9
6 changed files with 25 additions and 27 deletions
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custom_ops/xpu_ops/src/ops/get_output_msg_with_topk.cc
+2 -2
View File
@@ -23,8 +23,8 @@
#define PD_BUILD_STATIC_OP(name) PD_BUILD_OP(static_op_##name)
#endif
#define MAX_BSZ 128
#define K 5
#define MAX_BSZ 512
#define K 20
struct msgdata {
long mtype;
custom_ops/xpu_ops/src/ops/save_output_msg_with_topk.cc
+2 -2
View File
@@ -23,8 +23,8 @@
#define PD_BUILD_STATIC_OP(name) PD_BUILD_OP(static_op_##name)
#endif
#define MAX_BSZ 128
#define K 5
#define MAX_BSZ 512
#define K 20
// #define SAVE_WITH_OUTPUT_DEBUG
struct msgdata {
custom_ops/xpu_ops/src/ops/save_with_output_msg.cc
+10 -17
View File
@@ -17,19 +17,12 @@
#include <sys/ipc.h>
#include <sys/msg.h>
#include <sys/types.h>
#include "msg_utils.h"
#include "paddle/extension.h"
#define MAX_BSZ 256
// #define SAVE_WITH_OUTPUT_DEBUG
struct msgdata {
long mtype;
int mtext[MAX_BSZ + 2]; // stop_flag, bsz, tokens
};
// #define SAVE_WITH_OUTPUT_DEBUG
void SaveOutMmsg(const paddle::Tensor &x,
const paddle::Tensor &not_need_stop,
void SaveOutMmsg(const paddle::Tensor& x,
const paddle::Tensor& not_need_stop,
int64_t rank_id,
int msg_queue_id,
bool save_each_rank) {
@@ -37,10 +30,10 @@ void SaveOutMmsg(const paddle::Tensor &x,
return;
}
auto x_cpu = x.copy_to(paddle::CPUPlace(), false);
int64_t *x_data = x_cpu.data<int64_t>();
int64_t* x_data = x_cpu.data<int64_t>();
static struct msgdata msg_sed;
if (const char *inference_msg_queue_id_env_p =
if (const char* inference_msg_queue_id_env_p =
std::getenv("INFERENCE_MSG_QUEUE_ID")) {
std::string inference_msg_queue_id_env_str(inference_msg_queue_id_env_p);
int inference_msg_queue_id_from_env =
@@ -57,7 +50,7 @@ void SaveOutMmsg(const paddle::Tensor &x,
#endif
}
int inference_msg_id_from_env = 1;
if (const char *inference_msg_id_env_p = std::getenv("INFERENCE_MSG_ID")) {
if (const char* inference_msg_id_env_p = std::getenv("INFERENCE_MSG_ID")) {
std::string inference_msg_id_env_str(inference_msg_id_env_p);
inference_msg_id_from_env = std::stoi(inference_msg_id_env_str);
if (inference_msg_id_from_env == 2) {
@@ -111,15 +104,15 @@ void SaveOutMmsg(const paddle::Tensor &x,
return;
}
void SaveOutMmsgStatic(const paddle::Tensor &x,
const paddle::Tensor &not_need_stop,
void SaveOutMmsgStatic(const paddle::Tensor& x,
const paddle::Tensor& not_need_stop,
int64_t rank_id,
bool save_each_rank) {
SaveOutMmsg(x, not_need_stop, rank_id, 1, save_each_rank);
}
void SaveOutMmsgDynamic(const paddle::Tensor &x,
const paddle::Tensor &not_need_stop,
void SaveOutMmsgDynamic(const paddle::Tensor& x,
const paddle::Tensor& not_need_stop,
int64_t rank_id,
int msg_queue_id,
bool save_each_rank) {